MRC Hyper Compression SDK

The GdPicture research team has developed an innovative MRC (Mixed Raster Content) engine (aka hyper-compression) following a continuous innovation and proven process.

This engine produces spectacular results by automatically adjusting the tradeoff between quality and compression rate to provide top quality PDF MRC documents at the lower possible size.

Trusted since 15+ years, by 3000+ and Fortune500 companies, and 10K+ developers.

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An Innovative Hyper Compression Engine

What sets GdPicture’s MRC Hyper Compression stand apart from its competitors is the ability to handle any kind of document including:

document with forms
photos
document with artistic vectors
and more.

It uses very elaborated adaptative document learning algorithms permitting to identify and classify any form of any nature very quickly.

PDF MRC compression helps to produce better file compression by improving the document perception, especially with characters and shapes using continuous tones.

Capabilities and benefits

Quality

Automatic quality adjustment of different layers.
Improve subsequent OCR process recognition speed and rate, if any.
Shape content distribution analysis to produce high-quality anti-aliased result (especially with text).
Produces documents with very high fidelity with the input content.
Automatic document cleanup with no perceptible data removal/alteration.
Superior contrast and color saturation preservation.
Efficient reconstruction of low-quality documents resulting in a better-quality output.

Versatility

Can process any input opened by GdPicture.NET (more than 100 vector and raster formats).
Recognition of text, graphs, diagrams, logos, photos, drawings, stamps, signatures, marks, forms, etc.).
Adaptive learning of the input layout of the image/document.
Uses 4 different technics to detect text with spectacular accuracy.
Can process documents in any orientation with any skew level.

Size

Can reduce any 300-DPI color document to a 20 – 60 kilobytes file (see examples below).
Automatic detection of the input resolution.
Automatically adjusts compression options based on the produced analysis metrics.

Speed

Fast processing.
Excellent mobile transfer and viewing.

Examples

File	Type	BEFORE hyper-compression	AFTER hyper-compression (no smoothing)	AFTER hyper-compression (preserve smoothing)	Download for comparison
01. Text transparency	.JPG	1 MB	22.9 KB	31.4 KB	Download Files For Comparison
02. Letter	.TIFF	1.6 MB	22.2 KB	23.6 KB	Download Files For Comparison
03. Form	.JPG	1.4 MB	33.5 KB	47.4 KB	Download Files For Comparison
04. Medical document	.JPG	1.88 MB	52.6 KB	81.2 KB	Download Files For Comparison
05. Fill-in form	.JPG	685.8 KB	47.3 KB	68.0 KB	Download Files For Comparison
06. Text image	.JPG	533.4 KB	19.3 KB	20.8 KB	Download Files For Comparison
07. Fill-in form logos	.JPG	629.0 KB	13.2 KB	20.3 KB	Download Files For Comparison
08. Image watermark	.JPG	476.9 KB	41.9 KB	44.9 KB	Download Files For Comparison
09. Poster color	.JPG	139.0 KB	25.7 KB	28.3 KB	Download Files For Comparison

Try with your document

Examples of usage

Convert a multipage TIF file to a PDF document using Mixed Raster Content compression

Enable smoothing to improve the contrast by reducing noise

Use MRC compression to re-compress existing PDF documents

How to use

Download and install GdPicture.NET package from here.

You will find a compiled demo applications in
[Install directory]\Samples\Bin\

You will find C# and VB.NET demo applications including source code in
[Install directory]\Samples\WinForm\

You will find other code snippets within the online reference guide found here

GdPicture.NET Guides

FAQs

MRC compression is an advanced image compression method that segments a document into different layers, such as text, background, and images. Each layer is compressed separately using the most efficient algorithm for its content type, and then the layers are combined to reconstruct the original document. This approach allows for substantial file size reduction without compromising visual quality.

The GdPicture.NET MRC engine automatically adjusts the trade-off between compression rate and document quality by analyzing the document’s content and applying optimal compression settings for each layer. This ensures that the resulting PDF MRC documents are of high quality while achieving the smallest possible file size.

Documents that contain a mix of text, graphics, and images, such as scanned forms, reports, and brochures, benefit significantly from hyper compression. The MRC technique efficiently compresses each element according to its characteristics, leading to substantial file size reduction while preserving readability and visual integrity.

Yes, hyper compression can enhance Optical Character Recognition (OCR) accuracy. By improving the contrast and clarity of text elements during the compression process, the MRC engine produces cleaner text layers, which can lead to better OCR recognition rates.

Yes, the GdPicture.NET MRC engine provides configurable options that allow developers to adjust compression parameters based on specific requirements. Users can control aspects such as image downscaling, quality levels, and the balance between compression ratio and visual quality to meet their application’s needs.